The Research On The Optimization Of Multimodal Trans-Port In Mix Genetic Algorithm Based On Simulated Annealing

With the world economic integration accelerating,the multimodal transport as the important link in international logistics services have been winned the love of owners,with its flexible,convenient and safe features.About the multimodal transport optimization problems,that is to say how to choose the best mode of transport and combination of transport paths,so that it can use the lowest transportation cost and shortest transport time to complete the transport task,with security,on time and keep quality and quantity,this is an urgent task.In this paper,the advantages and the disadvantages of the kinds of algorithms have been analyzed.To adviod their disadvantage,a Mixed Genetic Algorithm Based on Simulated Annealing have been proposesd.Using the Mix Genetic Algorithm to the multimodal transport optimization research,which have been realized more effective and intelligent than some previous algorithms on some certain exent.The multimodal transport regional path choice,the multimodal transport network and constructing an virtual transportation network have been studied by this paper,a combination optimization model have been set up,in which amied at the multimodal transportation route and mode of shopping in container multi-modal transport.This is a 0-1 interger programming model.The original problem have been converted to a specific shortest path problem with time and capability constraints by constructing an exentsive vittual transportation network.An efficient method to solve the specific shortest path h-ave been given --- A Mixed Genetic Algorithm Based on Simulated Annealing.This method have been verified by the results of simulation.lt is a efficetive way to solve the multimodal transportation route problem.